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llm-jp-3-vericava-posts-v1 – AI Model by vericava | AlphaNeural AI | AlphaNeural AI

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vericava/
llm-jp-3-vericava-posts-v1

like

0

text-generation

generated_from_trainer

llm-jp/llm-jp-3-3.7b

autotrain_compatible

text-generation-inference

endpoints_compatible

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llm-jp-3-vericava-posts-v1

This model is a fine-tuned version of llm-jp/llm-jp-3-3.7b on the dataset of my posts on the Internet.

Model description

It generates text resembling what I post on the Internet.

Intended uses & limitations

CAUTION: It may produce something I'd never say. I do not impose any restriction(s) on the use of this model.

Training and evaluation data

Twitter/X: https://x.com/vericava

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 300
num_epochs: 4

Training results

Framework versions

Transformers 4.55.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4